STR and CTR submissions built to the goAML schema and validated before anything leaves your building — the platform for Pakistan’s FMU and the UAE FIU alike.
Compliance & RegTech Automation
Regulatory reporting, financial crime operations and statutory filings, automated behind maker-checker with an audit trail a regulator will accept. Built for Pakistan and the GCC, where the formats are local and the deadlines are not negotiable.
What we build
What we build
Systems of this shape run inside a regulated bank today. Ask about anything you do not see here.
SBP periodic returns and CBUAE reporting assembled from source, reconciled and checked against the current template.
Watchlist and PEP alerts reviewed, obvious false matches cleared, the rest escalated with the evidence attached.
Alert history, prior dispositions and customer context gathered so an analyst decides rather than assembles.
Draft narratives written to your house style, ready for the MLRO to review, amend and sign.
Periodic reviews run on schedule, changes flagged, missing documents chased automatically.
Evidence gathered with the source of every figure attached, so a query takes a click rather than a week.
Accounts matched, breaks investigated and each one explained in writing rather than left in a spreadsheet.
How we build it
Deterministic where it can be, judged where it must be
Not everything here should involve a model. Knowing which half is which is most of the skill.
Format conversion, schema validation, aggregation and thresholds are ordinary code. Same answer every time, testable the ordinary way.
Reading a letter, weighing a name match, drafting a narrative — that is where an agent earns its place, always with a person on the decision.
Preparation is automated. Submission sits behind the approval your policy already requires, recorded against whoever gave it.
How it runs
How a build runs
Six to ten weeks for a first process, in four stages.
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Start with the deadline
Which return, which filing, which date. Compliance work has a fixed calendar, and that is what the build is measured against.
The date is the spec -
Map the data to the format
Where each field comes from, what the schema demands, and every case where the two do not line up. This is the real work.
Field by field -
Validate before you submit
Schema checks run before anything leaves your building, so a rejection becomes a caught error rather than a supervisory conversation.
Fail internally -
Put it behind maker-checker
Automated preparation, human submission, both recorded. The control your policy already describes, enforced by the system.
Your controls, in the system
Common questions
Questions we get asked
No. It prepares and validates; a person submits. That separation is deliberate and we would not build it otherwise.
Templates and schemas are configuration, not code, so a revision is a data update rather than a rebuild.
Yes, and for regulated data that is the default. Nothing has to leave your environment.
goAML is the platform for the UAE FIU and sixty-odd other jurisdictions, so the same pipeline travels. Returns differ by regulator and are configured per market.
The other 7
Rarely bought on its own.
Most teams need two or three of these together. Take the layer you are missing, or the whole stack.
Build agents that complete real work end to end — read the case, apply your policy, take the action and record why. Not chatbots that answer questions about the work.
Read moreProve how an AI system behaves before it goes live, and keep proving it afterwards. Evaluation suites, adversarial testing and drift monitoring built from your own cases.
Read moreBuild and modernise web, mobile and internal platforms, wired into the core systems you already run rather than sitting beside them.
Read moreRelease faster with automated regression suites, API and performance coverage, and real-device mobile testing wired into your pipeline.
Read morePut an agent on the channel your customers already use. Booking, support and follow-up over WhatsApp, handed to a human the moment it should be.
Read moreConnect the tools you already pay for and let agents run the steps between them — on a schedule, on a trigger, or on approval.
Read moreSmall, private AI models that make one decision well — route, classify, triage — with a confidence score your team can trust. Runs inside your network.
Read moreTell us what is slowing you down.
Half an hour, no deck. Describe the process and we will come back with whether it is worth automating, roughly what it would take, and what we would build first — or tell you plainly if it is not a job for us.